A research team led by Prof. LI Huiyun from the Shenzhen Institutes of Advanced Technology introduced a simple deep reinforcement learning (DRL) algorithm with m-out-of-n bootstrap technique and aggregated multiple deep deterministic policy gradient (DDPG) algorithm structures.
Scientists from the Academy of Mathematics and Systems Science (AMSS), along with other collaborators, recently revealed that China's coal-fired power plants met ultra-low emission (ULE) standards ahead of schedule and also achieved substantial emission reductions between 2014 and 2017.
Chinese scientists led by WU Zhengyan from Hefei Institutes of Physical Science reported their discovery that a novel chemical karrikins could significantly enhance both drought and salt resistance of Sapium sebiferum which is one kind of important oil plant..
Traditional online damage detection schemes can directly detect and characterize damage by imaging optical components. Recently, a research team from Shanghai Institute of Optics and Fine Mechanics proposed a three-dimensional damage localization method which was insensitive to the type of damage.
A Chinese research group led by by HUANG Xingjiu from Institute of Intelligent Machines, Hefei Institutes of Physical Science explored the electrocatalytic interaction between the sensing interface and the target heavy metal, specifically As(III), by using Co single-atom catalyst (Co SAC) for the first time.
Scientists from the Shanghai Advanced Research Institute (SARI) recently reported a different working mechanism and demonstrated that the core–shell structure may not exist under a specific set of conditions, which overturns the conventional understanding.
Researchers from the Institute of Vertebrate Paleontology and Paleoanthropology have found a new species of sandgrouse in six to nine million-year-old rocks in Gansu Province in western China. The newly discovered species points to dry, arid habitats near the edge of the Tibetan Plateau as it rose to its current extreme altitude.
Prof. WAMG Sibao from Center for Excellence in Molecular Plant Sciences of the Chinese Academy of Sciences (CAS), and Prof. WEI Gang from CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health of CAS, and their colleagues, revealed that the KMT2-Cre1-Hyd4 regulatory pathway plays a crucial role in coordinated regulation of the infection-related morphogenesis and fungal pathogenicity against mosquitoes.
To examine how the amount and frequency of stover mulching regulate decomposition pathways of soil micro-food webs, KOU Xingchang, MA Ningning, ZHANG Xiaoke, XIE Hongtu and other members of the Special Research Team on Conservation Tillage from the Institute of Applied Ecology (IAE) conducted a study at Lishu experimental base.
A study led by Prof. HE Xingyuan from Urban Forests and Wetlands in Northeast Institute of Geography and Agroecology of the Chinese Academy of Sciences assessed the mental satisfaction of urban forest visitors using big data from social network service for the first time. The results were published online in Forests.
A research team led by Prof. HU Honglin and Prof. XU Tianheng at Shanghai Advanced Research Institute (SARI) provided a novel spectrum sensing technique, seeking a feasible way to combine the reinforcement learning concept with advanced spectrum sensing methods so as to optimize the performance of the cognitive radio network under multifarious scenarios in 5G communications.
Prof. Tiger H. Tao, Prof. DING Guqiao and their team from Shanghai Institute of Microsystem and Information Technology have developed a "self-matched" tribo-piezoelectric nanogenerator composed of genetically engineered recombinant spider silk protein and piezoelectric poly(vinylidene fluoride) (PVDF).
Researchers from the Shenzhen Institutes of Advanced Technology developed a 1-MHz 256-element 2D array ultrasonic transducer of low electrical impedance based on a new Sm-PMN-PT piezoceramic with ultrahigh dielectric permittivity.
A team of researchers from the Shenzhen Institutes of Advanced Technology proposed a new automated intelligent gait planning method that integrated a finite-state machine (FSM) model as an underlying foundation.
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